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Showing 1 to 15 of 205 results Save | Export
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Shuanghong Shen; Qi Liu; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…
Descriptors: Student Behavior, Electronic Learning, Data Analysis, Models
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Marc Burchart; Joerg M. Haake – IEEE Transactions on Learning Technologies, 2024
In distance education courses with a large number of students and groups, the organization and facilitation of collaborative writing tasks are challenging. Teachers need support for planning, specification, execution, monitoring, and evaluation of collaborative writing tasks in their course. This requires a collaborative learning platform for…
Descriptors: Writing Instruction, Distance Education, Large Group Instruction, Learning Management Systems
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Xia, Xiaona – Interactive Learning Environments, 2023
Learning interaction activities are the key part of tracking and evaluating learning behaviors, that plays an important role in data-driven autonomous learning and optimized learning in interactive learning environments. In this study, a big data set of learning behaviors with multiple learning periods is selected. According to the instance…
Descriptors: Behavior, Learning Processes, Electronic Learning, Algorithms
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Timothy G. Harrison; Michael T. Davies-Coleman; Alison C. Rivett; M. Anwar H. Khan; Joyce D. Sewry; Magdalena Wajrak; Nicholas M. Barker; Jonny Furze; Sophie D. Franklin; Linda Sellou; Naomi K. R. Shallcross; Dudley E. Shallcross – Journal of Chemical Education, 2024
Climate change is of great concern to all age groups but in particular to children. "Simple" climate models have been in place for a long time and can be used effectively with post-16 students. For younger children, modifications are required, and we describe in this paper the development and use of two such models. The first (the Granny…
Descriptors: Foreign Countries, Climate, Models, Elementary Secondary Education
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Alberto J. Cañas; Priit Reiska; Oleg Shvaikovsky – Knowledge Management & E-Learning, 2023
It is widely accepted that concept maps are a meaningful learning tool. Even so, the use of concept mapping as a meaningful learning tool is probably less common than the use of concept mapping as an assessment tool. In first place, the easiest thing to with a student's concept map is to apply a rubric and give it a grade. And second, teachers…
Descriptors: Concept Mapping, Teaching Methods, Electronic Learning, Elementary Schools
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Stoten, David William – Journal of Research in Innovative Teaching & Learning, 2022
Purpose: The purpose of this conceptual paper is to advocate the adoption of heutagogic principles within management education and to show how it could be implemented. Design/methodology/approach: This paper is the outcome of a review of the literature on learning theory and management education. Findings: This paper demonstrates how heutagogic…
Descriptors: Business Administration Education, Entrepreneurship, Electronic Learning, Coaching (Performance)
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Ujjwal Biswas; Samit Bhattacharya – Education and Information Technologies, 2024
The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…
Descriptors: Artificial Intelligence, Blended Learning, Flipped Classroom, Technology Uses in Education
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Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
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Shonfeld, Miri; Cotnam-Kappel, Megan; Judge, Miriam; Ng, Carolyn Yeehan; Ntebutse, Jean Gabin; Williamson-Leadley, Sandra; Yildiz, Melda N. – Educational Technology Research and Development, 2021
This article presents a conceptual model of cross-cultural alignments in education in the digital era. The intention was to explore and respond to urgent questions regarding learners and the learning environments in today's networked society. The model explores the enabling or constraining influences of educational systems, digital environments,…
Descriptors: Electronic Learning, Alignment (Education), Influences, Models
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Qi Wang; Shengquan Yu – Interactive Learning Environments, 2024
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…
Descriptors: Electronic Learning, Educational Resources, Automation, Models
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Bennett, Luke; Albrecht, Alyssa – Distance Learning, 2021
As the demand for online and blended courses in higher education continues to increase, so too has the demand for and responsibilities placed upon instructional designers (ID). Through the analysis of round table discussions and relevant literature, researchers found that role discrepancies and strained faculty/ID partnership dynamics are commonly…
Descriptors: Instructional Design, Higher Education, Role, College Faculty
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Agnes D. Garciano; Debbie Marie B. Verzosa; Ma. Louise Antonette N. De Las Peñas; Maria Alva Q. Aberin; Juan Carlo F. Mallari; Jumela F. Sarmiento; Mark Anthony C. Tolentino – International Association for Development of the Information Society, 2023
This paper discusses the "Just Keep Solving" apps that are designed based on deliberate practice model for developing mathematical skills. Features of deliberate practice include well-defined goals involving areas of weakness as determined by a knowledgeable other such as a teacher. The integration of game design features provides a…
Descriptors: Students, Student Centered Learning, Play, Electronic Learning
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Cronje, Johannes C. – Electronic Journal of e-Learning, 2020
This paper presents a model for developing research questions that are aligned to research aims for research design in e-learning. The model is proposed as a solution to the on-going problem of heterogeneity of research problems. The model is based on Burrell and Morgan's four social paradigms, and integrates four research aims, namely, explore,…
Descriptors: Research Design, Research Methodology, Educational Research, Electronic Learning
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Al Ghazali, Fawzi – Pegem Journal of Education and Instruction, 2022
This paper studies the application of alternative instruction models such as online and blended learning to compensate for the closures of Higher Education Institutions (HEIs), including colleges and universities in the Middle East following the COVID-19 pandemic outbreak. Online learning was introduced as an immediate alternative to complete…
Descriptors: Blended Learning, Electronic Learning, Online Courses, Models
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Gogus, Aytac – Online Learning, 2023
Offering online courses can be seen as a way of enhancing the three essential "presences" (teaching, cognitive, and social) of the Community of Inquiry (CoI) model. Creating and enhancing cognitive, teaching, and social presences require an innovation for teachers during planning, implementing, and evaluating their online courses. As…
Descriptors: Online Courses, Electronic Learning, Learning Experience, Cognitive Processes
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